Abstract

ABSTRACT
Before globalization, there was a discrimination between men and women
in labour market. Women's role in that market, had been underestimated. After
globalization like now, gender equality between men and women had been
concerned. The phenomenon that women's labour force participation which was
fluctuative and still lower than men, have to got concerned, women's labourforce
participation should have had equality with men, because women also could make
a contribution to the development. Women's decision to work was influenced by
several factors such as marriage status, age, education, women's wage,
husband's wage and size offamily . The purpose of this research was to analyze
the influencefrom thatfactors to women's decision to work or not work.
This research used primary data with quetioner that given to respondents
at West Pekalongan district and East Pekalongan district. This research
constructed two models with dependent variabel was women's decision to work or
not work. The equation in both models were analyzed with Linear Probability
Model with Eviews 6.0. For the first model, independent variables were age,
education, marriage status (with dummy variables were marriage and
unmarriage), women's wage and size offamily. This model ignored the husband's
wage as an independent variabel. The result were age significant but negatively
influenced. Education was negatively influenced but not significant. Marriage
status was negatively influenced and significant. Women's wage and the size of
family were positively influenced and significant to women's decision to work or
not work
Independent variables in the second models were age, education,
women's wage, husband's wage and size offamily. There was a limitation in
second model that especially the sample only for marriage womens. The result
were age significant and positively influenced. Education was negatively
influenced and significant. Women's wage and the size offamily were positively
influenced and significant. And the last, husband's wage was negatively
influenced and significant to women's decision to work or not work. So it could
be conclude that the second model was better than thefirst model.
Keywords : women's decision to work or not work marriage status, age,
education, women's wage, husband's wage, size offamily and linear probability
model.